Machine Learning Engineer Intern (Knowledge Graph) - 2024 Start (PhD)

6 Months ago • Upto 1 Years • Monetization

Job Summary

Job Description

ByteDance's Knowledge Graph team is seeking a Machine Learning Engineer Intern (PhD) to join their efforts in building the neural network for e-commerce. This internship will involve crafting intricate knowledge graphs, developing product/content insights, and constructing buyer-product connection maps. Responsibilities include leveraging machine learning, NLP, multimodal systems, and computer vision to analyze product information and enhance recommendation systems. Interns will gain hands-on experience in areas like text classification, text matching, knowledge graphs, and large-scale text data processing.
Must have:
  • PhD in Computer Science or related field
  • Work authorization in country of employment
  • Passion or exposure to ML, NLP, multimodal systems, computer vision
  • Familiarity with C++, Python, Go, or Java
  • Strong teamwork and communication skills
Good to have:
  • Familiarity with TensorFlow/PyTorch
  • Coursework/projects on text classification, text matching, sequence labeling, and knowledge graphs
  • Knowledge of domain adaptation, text mining, unsupervised/semi-supervised methodologies
  • Experience with machine learning, deep learning algorithms, and text representation methods
  • Exposure to large-scale text data processing or tools like Hadoop/Spark/Hive/Flink
Perks:
  • Industry exposure and hands-on experience
  • Social events and development workshops
  • 100% premium coverage for Full-Time intern medical insurance after 90 days
  • Paid holidays and paid sick leave
  • Mental and emotional health benefits through EAP
  • Mobile phone expense reimbursement

Job Details

Responsibilities
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. The Knowledge Graph team is responsible for the neural network of e-commerce, which includes tasks such as categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team. Additionally, they manage operations related to product tags and category attributes. When we come across a product, they determine whether it belongs to the clothing or sports category, who thie product will be suitable for, etc. Furthermore, the team conducts competitive research, identifying top-performing items on the platform and analyzing why one similar product outperforms others. They are also involved in brand recognition. This team plays a pivotal role, in bridging various aspects of our business and maintaining close collaboration with other teams. We are looking for talented individuals to join us for an internship in 2024. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2024. Successful candidates must be able to commit to one of the following summer internship cycles below: 1.May 20, 2024 to August 9, 2024 2.May 28, 2024 to August 16, 2024 3.June 10, 2024 to August 30, 2024 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities - Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development. - Architect knowledge maps detailing buyer and product connections.
Qualifications
Minimum Qualifications: - Currently pursuing a PhD in Computer Science or a related technical field. - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. - Passion or exposure to areas like machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision. - Familiarity with or coursework related to programming languages like C++, Python, Go, or Java. - Strong teamwork and communication skills. Any hands-on experience or group projects in relevant technical scenarios will be a plus! Preferred Qualifications: - Familiarity with deep learning frameworks like TensorFlow/PyTorch. - Coursework or projects related to text classification, text matching, sequence labeling, and knowledge graphs. - Knowledge of domain adaptation, text mining, and unsupervised/semi-supervised methodologies. - Experience with machine learning and deep learning algorithms, and text representation methods. - Exposure to large-scale text data processing or tools like Hadoop/Spark/Hive/Flink. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
Job Information
【For Pay Transparency】Compensation Description Intern (hourly)

The hourly rate range for this position in the selected city is $72- $72. We cover 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire. Medical coverage only, no dental or vision coverage.

Our time off and leave plans are: Paid holidays and paid sick leave. The sick leave entitlement is based on the time you join.

We also provide mental and emotional health benefits through our Employee Assistance Program and provide reimbursements for your mobile phone expense. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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